etna.datasets.generate_from_patterns_df#

generate_from_patterns_df(periods: int, start_time: Timestamp | int | str | None, patterns: List[List[float]], freq: str | None = 'D', add_noise=False, sigma: float = 1, random_seed: int = 1) → DataFrame[source]#

Create DataFrame from patterns.

Parameters:

  • periods (int) – number of timestamps

  • start_time (Timestamp | int | str | None) – start timestamp

  • patterns (List[List[float]]) – list of lists with patterns to be repeated

  • freq (str | None) – pandas frequency string for pandas.date_range() that is used to generate timestamp

  • add_noise – if True we add noise to final samples

  • sigma (float) – scale of added noise

  • random_seed (int) – random seed

Raises:

ValueError: – Incorrect type of start_time is used according to freq

Return type:

DataFrame